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11

CORR
2007
Springer

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Self-organizing maps and symbolic data

13 years 4 months ago

Self-organizing maps and symbolic data

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Abstract. In data analysis new forms of complex data have to be considered like for example (symbolic data, functional data, web data, trees, SQL query and multimedia data,. . . ). In this context classical data analysis for knowledge discovery based on calculating the center of gravity can not be used because input are not R vectors. In this paper, we present an application on real world symbolic data using the self-organizing map. To this end, we propose an extension of the self-organizing map that can handle symbolic data.

Aïcha El Golli, Brieuc Conan-Guez, Fabrice Ro

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Complex Data | Context Classical Data | CORR 2007 | Education | Symbolic Data |

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Added	13 Dec 2010
Updated	13 Dec 2010
Type	Journal
Year	2007
Where	CORR
Authors	Aïcha El Golli, Brieuc Conan-Guez, Fabrice Rossi

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